The top documents tagged [cnf formula]

Arora: SDP + Approx Survey Semidefinite Programming and Approximation Algorithms for NP-hard Problems: A Survey Sanjeev Arora Princeton University
Documents Arora: SDP + Approx Survey Semidefinite Programming and Approximation Algorithms for NP-hard Problems: A Survey Sanjeev Arora Princeton University

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Analysis of Algorithms NP & NP-Complete Prof. Muhammad Saeed
Documents Analysis of Algorithms NP & NP-Complete Prof. Muhammad Saeed

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Many Np Completeness Proofs
Documents Many Np Completeness Proofs

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Slides
Technology Slides

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Time-Space Tradeoffs in Resolution: Superpolynomial Lower Bounds for Superlinear Space Chris Beck Princeton University Joint work with Paul Beame & Russell
Documents Time-Space Tradeoffs in Resolution: Superpolynomial Lower Bounds for Superlinear Space Chris Beck Princeton University Joint work with Paul Beame & Russell

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NP-Completeness: Reductions CSc 4520/6520 Fall 2013 Slides adapted from David Evans (Virgina) and Costas Busch (RPI)
Documents NP-Completeness: Reductions CSc 4520/6520 Fall 2013 Slides adapted from David Evans (Virgina) and Costas Busch (RPI)

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Algorithms and Data Structures for Logic Synthesis and Verification using Boolean Satisfiability John Backes (back0145@umn.edu) Advisor: Marc Riedel (mriedel@umn.edu)
Documents Algorithms and Data Structures for Logic Synthesis and Verification using Boolean Satisfiability John Backes ([email protected]) Advisor: Marc Riedel ([email protected])

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Boosting Minimal Unsatisfiable Core Extraction. Agenda Introduction and motivation New algorithms ◦ Generic scheme ◦ Resolution-based algorithm ◦ Selector-variable-based
Documents Boosting Minimal Unsatisfiable Core Extraction. Agenda Introduction and motivation New algorithms ◦ Generic scheme ◦ Resolution-based algorithm ◦ Selector-variable-based

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How NP got a new definition: Probabilistically Checkable Proofs (PCPs) & Approximation Properties of NP-hard problems SANJEEV ARORA PRINCETON UNIVERSITY
Documents How NP got a new definition: Probabilistically Checkable Proofs (PCPs) & Approximation Properties of NP-hard problems SANJEEV ARORA PRINCETON UNIVERSITY

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Learning Submodular Functions Nick Harvey, Waterloo C&O Joint work with Nina Balcan, Georgia Tech
Documents Learning Submodular Functions Nick Harvey, Waterloo C&O Joint work with Nina Balcan, Georgia Tech

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CS151 Complexity Theory Lecture 3 April 6, 2015. 2 Nondeterminism: introduction A motivating question: Can computers replace mathematicians? L = { (x,
Documents CS151 Complexity Theory Lecture 3 April 6, 2015. 2 Nondeterminism: introduction A motivating question: Can computers replace mathematicians? L = { (x,

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March 2, 2015CS21 Lecture 231 CS21 Decidability and Tractability Lecture 23 March 2, 2015
Documents March 2, 2015CS21 Lecture 231 CS21 Decidability and Tractability Lecture 23 March 2, 2015

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